A deterministic system is a conceptual model of the philosophicaldoctrine of determinism applied to a system for understanding everything that has and will occur in the system, based on the physical outcomes of causality. In a deterministic system, every action, or cause, produces a reaction, or effect, and every reaction, in turn, becomes the cause of subsequent reactions. The totality of these cascading events can theoretically show exactly how the system will exist at any moment in time.

To understand this concept, start with a fairly small everyday system. Visualize a set of three dominoes lined up in a row with each domino less than a domino's length away from its neighbors, impervious to external environment influences. Once the first domino has toppled, the third domino will topple because the second will topple upon being contacted by the first domino. This could feasibly be shown by a scientist using a computer model front-loaded with the ability to correctly apply physics.

Small deterministic systems are easy to visualize, but are necessarily linked to the rest of reality by an initial cause and/or final effect. To go back to the dominoes, something outside the system has to cause the first domino to topple. The last domino falling might cause something else outside the system to happen. And the system itself must be considered in isolation--if external forces such as hurricanes, earthquakes or the hands of nearby people were taken into consideration, the final domino toppling might not be a predetermined outcome. Complete isolation of a system is unrealistic, but useful for understanding what would normally happen to a system when the possibility of external influences is negligible. Complex physical systems are necessarily built using simpler ones, and using isolated systems as a starting model can help bridge the gap and aid in understanding. The domino example is developed in the Petri net computational model.

This example assumes that dominoes toppling into each other behave deterministically. Even the above-mentioned external forces which might interrupt the system are causes which the system did not consider, but which could be explained by cause and effect in a larger deterministic system.

Nearly all electronic computers in use today are based on theoretical von Neumann computers or Turing machines, i.e.: they are devices that perform one small, deterministic step at a time. If all inputs are specified, the computer will always produce a particular output which is calculated deterministically. Computer scientists also study other models of computation including parallel computers (more than one deterministic step at a time), and quantum computers (which are based on non-deterministic quantum mechanical models). Computer systems or programs are often described as non-deterministic if their behavior depends on factors that cannot be predicted or reliably reproduced, such as the time of day or the speed at which the user enters data at the keyboard. This, however, is a somewhat different usage of the term.

Behaviorism, an approach to psychology based on the proposition that behavior can be researched scientifically without recourse to inner mental states, is usually considered to be deterministic and opposed to free will.

Events without natural causes cannot be part of a deterministic system. Whether such events actually occur is a matter of philosophical and scientific debate - however, possible uncaused events include:

Some systems are particularly difficult to classify as deterministic or not, and have generated much philosophical debate. The major example would be human minds, and possibly animal minds too. Can people have free will if their minds are truly deterministic? Conversely, when deterministic computers are said to exhibit artificial intelligence, how are their minds similar to ours?

The larger the deterministic system, the longer the necessary chain of cause and effect. The entire universe may be considered as such a system, which creates its own philosophical questions (see Determinism).